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Deep Integration Between Mestrelab MNova and ZONTAL
In this webinar Mestrelab and ZONTAL present a use case on the deep integration they built between the Mnova and ZONTAL systems
Deep integrations between data captured from experiments, data storage systems, and data analytics tools enable scientists to rapidly explore research results. In the past, such integrations often relied on “human ETL”, which means scientists needed to enter metadata into search fields, manually downloaded files, and moved data between systems before they could find and visualize them.
In this webinar, Mestrelab and ZONTAL present a use case on the deep integration they built between the Mnova and ZONTAL systems to make this process seamless.